• Media type: Electronic Conference Proceeding; Text; E-Article
  • Title: On Density, Threshold and Emptiness Queries for Intervals in the Streaming Model
  • Contributor: Bishnu, Arijit [Author]; Chakrabarti, Amit [Author]; Nandy, Subhas C. [Author]; Sen, Sandeep [Author]
  • imprint: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2015
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.FSTTCS.2015.336
  • Keywords: heavy hitter ; emptiness queries ; frequency estimation ; threshold ; interval queries ; Density ; streaming model
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  • Description: In this paper, we study the maximum density, threshold and emptiness queries for intervals in the streaming model. The input is a stream S of n points in the real line R and a floating closed interval W of width alpha. The specific problems we consider in this paper are as follows. - Maximum density: find a placement of W in R containing the maximum number of points of S. - Threshold query: find a placement of W in R, if it exists, that contains at least Delta elements of S. - Emptiness query: find, if possible, a placement of W within the extent of S so that the interior of W does not contain any element of S. The stream S, being huge, does not fit into main memory and can be read sequentially at most a constant number of times, usually once. The problems studied here in the geometric setting have relations to frequency estimation and heavy hitter identification in a stream of data. We provide lower bounds and results on trade-off between extra space and quality of solution. We also discuss generalizations for the higher dimensional variants for a few cases.
  • Access State: Open Access